Evidence map›Paper›PMID 40973740›Full record

ArticleScientific reports2025

(Cardiac) complexity needs interaction.

Tim De Coster

Abstract readEditorial
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Tim De CosterLaboratory of Experimental Cardiology, Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, PO 9600, Leiden, 2333 ZA, The Netherlands. t.j.c.de_coster@lumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heart exemplifies a complex system where electrical, mechanical, and biochemical processes interact dynamically. Understanding cardiac complexity requires exploring these interactions across multiple levels, from cellular dynamics to organ-wide behavior. This collection examines key interactions in cardiology, including excitation-contraction coupling, arrhythmia quantification, electromechanical modeling, and imaging advances. By integrating mathematical, computational, and clinical perspectives, researchers uncover novel insights into heart function and dysfunction. Progress in this field relies on interdisciplinary collaboration, emphasizing the vital role of human interaction in translating discoveries into improved diagnostics and treatments.

Indexed as

HeartAnimalsArrhythmias, CardiacExcitation Contraction CouplingHumansModels, Cardiovascular

Identifiers

PMID40973740
PMCPMC12449450

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.